Device and network driven cellular networks architecture and mobility management technique for fog computing-based mobile communication system

Abstract

In this paper, we propose a metric and performance-based mode switching procedure for 5G and beyond mobile fog networks. The network interchange mode of communication between network-centric and device-centric modes, the mode switching procedure is subject to the network’s quality of service (QoS) and quality of experience (QoE) parameters. If the quality parameters are less than the pre-set threshold value, the network selects a relay node as intermediate nodes to avail the device-centric mode of communication. During the communication, the network information’s are retrieved from the nearby fog nodes and the process by intelligent base stations. Our next contribution is a relay node assisted mobility management procedure. As the mobile nodes change the position frequently within the network service area, an efficient mobility management procedure is required to improve the network’s performance. We propose a unique mobility management procedure, it follows the movement prediction procedure and helps the mobile nodes to avail the device-centric communication in dynamic fog networks, we classify it for dynamic and static mobile users. To check the effectiveness, efficiency, and parameterized dependency of the proposed work, we formulate the process with respect to several dependent factors and comparing our results with the latest state-of-the-art networks technologies subject to communication delay and latency, energy consumption, without any compromise in node mobility and call to mobility ratio. Finally, we achieve better performance to gain the QoS and QoE.